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model-based predictive control algorithm

Load Shedding Control of Wind Turbine Based on Model Predictive Control Algorithm

Load Shedding Control of Wind Turbine Based on Model Predictive Control Algorithm

... PID control has become the mainstream control strategy of wind turbine with the characteristics of high efficiency, operational stability and ...PID control strategy can only have good control ...

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Preselection algorithm based on predictive control for direct matrix converter

Preselection algorithm based on predictive control for direct matrix converter

... MPC algorithm in a standard control ...distributed model predictive control strategy was proposed, which is suitable for back-to-back converters and multi-level ...

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New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems

New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems

... obtained based on stability analysis. In [17], based on dynamic matrix control (DMC) of the MIMO impulse response model, a MIMO network DMC algorithm for stochastic delay is ...

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Nonlinear Decentralized Model Predictive Control for Unmanned Vehicles Moving in Formation

Nonlinear Decentralized Model Predictive Control for Unmanned Vehicles Moving in Formation

... the algorithm is based on a nonlinear model, which does not require to operate near one or more predefined working points, but can be used in a full range of operating ...formation control is ...

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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL

CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL

... a control time series u  is chosen. Using a model we look at what would happen if this series of control signals is used: the plant output y ˆ can be predicted, then next a cost function (1) is used ...

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Artificial pancreas based on model predictive control

Artificial pancreas based on model predictive control

... ANFIS stands for Adaptive Neural Fuzzy Inference System. Using a given input/output data set, the toolbox function ANFIS constructs a Fuzzy Inference System (FIS) whose membership function parameters are tuned (adjusted) ...

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Networked Cooperative Distributed Model Predictive Control Based on State Observer

Networked Cooperative Distributed Model Predictive Control Based on State Observer

... distributed model predictive control has caused significant attention and received many good results, the results are mostly under the assumption that the system states can be ...el predictive ...

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Model based predictive control of depth of anaesthesia

Model based predictive control of depth of anaesthesia

... the control algorithm incorporated effect-site steering (Absalom and Kenny, 2003); (Engdahl et ...an algorithm are proposed for controlling the effect site concentration using a TCI ...the ...

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Multi-parametric programming and explicit model predictive control of hybrid systems

Multi-parametric programming and explicit model predictive control of hybrid systems

... recent algorithm for multi-parametric programming (Gupta et ...improved algorithm based on the combinatorial approach (Feller et ...vectors. Based on these results, it is expected that such ...

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An Adaptive Disturbance Model for Model Predictive Control

An Adaptive Disturbance Model for Model Predictive Control

... TSRLS algorithm is derived for the online parameter estimation of the adaptive disturbance ...TSRLS algorithm allows separate parameter estimation for the stationary and non-stationary disturbances with ...

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Adaptive Tuning of Model Predictive Control Parameters Based on Analytical Results

Adaptive Tuning of Model Predictive Control Parameters Based on Analytical Results

... auto-tuning algorithm is developed for DMC without constraint ...Genetic Algorithm (GA) and Multi-Objective Fuzzy Decision- Making (MOFDM) strategies are combined to determine the optimal tuning parameters, ...

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A New Weighted Graph Based Partitioning Algorithm for Decentralized Nonlinear Model Predictive Control of Large Scale Systems

A New Weighted Graph Based Partitioning Algorithm for Decentralized Nonlinear Model Predictive Control of Large Scale Systems

... in control theory research ...novel control methodologies are something ...traditional control design strategy may show ...advanced control methodologies applicable to real world large-scale ...

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Learning Based Approximate Model Predictive Control for Nonlinear Systems

Learning Based Approximate Model Predictive Control for Nonlinear Systems

... sulting control laws can be efficiently implemented by using recently developed parallel software and hardware architectures, enabling applicability even for large-scale ...MPC algorithm, (it sees only the ...

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Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration

Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration

... generic control loop feedback mechanism (controller) widely used in industrial control ...process control inputs. The PID controller calculation (algorithm) involves three separate constant ...

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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller

Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller

... nonlinear model predictive control (NMPC) scheme in parallel with PI control ...simulation model of an industrial-scale five-stage ...Levenberg-Marquardt algorithm. The same ...

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Approximation methodologies for explicit model predictive control of complex systems

Approximation methodologies for explicit model predictive control of complex systems

... order model, do not hold the same physical meaning as in the original ...mp-NMPC algorithm approximation, the closed-loop performance of the reduced controller with 2 states was compared against a NMPC ...

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Gradient Algorithm in Subspace Predictive Control

Gradient Algorithm in Subspace Predictive Control

... subspace predictive control strategy is applied to design predictive ...space model, the output estimations corresponding to the predictive output is derived to be one explicit function ...

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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

... nonlinear predictive control ...is based on the fact that, in general, only a small number of possible solutions actually need to be enumerated, so the remaining solutions are eliminated through the ...

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HEVC Rate Control Algorithm Based on Predictive Weight

HEVC Rate Control Algorithm Based on Predictive Weight

... same model parameters, The same target bit is allocated, and the corresponding basic unit in the left side of the equation (2) is the prediction unit of the current basic unit, for example, and so ...the ...

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Nonlinear Multiple Model Predictive Control of Solution Polymerization of Methyl Methacrylate

Nonlinear Multiple Model Predictive Control of Solution Polymerization of Methyl Methacrylate

... linearized model based predictive controller is designed using the DMC algorithm to control the temperature of a batch MMA polymerization ...mechanistic model of the ...

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